Senior Engineer jobs at Peraton - 7657 jobs

A leading sports technology company based in San Francisco is seeking a Senior Machine Learning Platform Engineer. This role involves driving AI/ML projects from start to finish, working with extensive datasets, and contributing to a popular consumer product. The ideal candidate should have a strong machine learning background and technical leadership experience. The position follows a hybrid model requiring on-site collaboration three days a week. #J-18808-Ljbffr

A Silicon Valley-based tech company is seeking a skilled AI Engineer to lead the maintenance and enhancement of AI solutions. The role involves optimizing AI systems, developing models, and managing APIs, predominantly using AWS services. Ideal candidates should have a strong background in AI development, proficiency in Python, and at least 6 years of experience. The position offers a competitive salary of $180,000 - $200,000 with comprehensive benefits and growth opportunities. #J-18808-Ljbffr

A leading compensation platform provider in the New York area is looking for experienced engineers to architect scalable machine learning systems. The ideal candidate will have over 5 years of experience in ML model deployment, a solid understanding of ML fundamentals, and expertise in Python. This role is critical in driving revenue growth and evolving technical ML initiatives. The company offers competitive compensation including health benefits, equity, and a flexible work environment. #J-18808-Ljbffr

A leading compensation technology firm is seeking an experienced application security professional to enhance their robust security measures. The ideal candidate will have over 5 years of application security experience and expert knowledge of OWASP Top 10. This role will involve collaboration with software engineers to secure sensitive data and run effective security programs. A range of compensation and benefits is offered, including equity and flexible PTO. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A leading compensation platform provider in the New York area is looking for experienced engineers to architect scalable machine learning systems. The ideal candidate will have over 5 years of experience in ML model deployment, a solid understanding of ML fundamentals, and expertise in Python. This role is critical in driving revenue growth and evolving technical ML initiatives. The company offers competitive compensation including health benefits, equity, and a flexible work environment. #J-18808-Ljbffr

Join the Sleep Fitness Movement At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company\'s Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME\'s “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don't just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive - it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment. Join us and lead the movement that's transforming how the world sleeps and what we're all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world's top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant's mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn't a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week - not because we're told to, but because we're invested. We're here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you'll feel right at home. If you're looking for something easier - this isn't it. The Role We're looking for an experienced mechanical engineer with expertise in thermal design to develop innovative products from concept through to production. You\'ll take ownership of the thermal performance of our systems including the thermal engine in the Pod Hub and the thermal core of the Pod Cover. You'll be part of a small, mission-driven team and have significant ownership over decisions. We're growing quickly so there are ample opportunities for career growth. The position is based out of our San Francisco office and requires ~20% travel to China to support manufacturing activities. How You\'ll Contribute Ensure our products have industry leading thermal performance by owning the architecture and design of thermal systems from concept to production. Perform thermal and fluid analysis to optimize factors such performance, size, noise, and cost. Work closely with suppliers and cross-functional teams to implement designs. Create and execute test plans to characterize prototypes and validate analytical results. Design test systems for use in development and in production. What You\'ll Need to Succeed 5+ years of experience in thermal system design (e.g. heatsinks, heat pipes, TECs, insulation strategies, thermally conductive materials). Expertise in thermal and fluid analysis, heat transfer fundamentals, thermal instrumentation, DOEs, and root cause analysis techniques. Highly proficient with simulation (e.g. IcePak, Fluent) and data analysis tools (e.g. Python, Matlab) Experience shipping high-volume consumer products, including manufacturing support in Asia. Proficient in CAD (e.g. Solidworks, NX, Creo) and DFM/DFA. BSME or equivalent (MS or PhD preferred). Willingness and ability to travel to China as needed. Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you - perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

While most Autonomous Vehicle (AV) technology companies are stuck in R&D mode, Pronto is a world‑leader in commercializing AV tech via our Autonomous Haulage System, which is automating haulage operations at mines and quarries around the world. Pronto's team of Silicon Valley veterans has been at the forefront of every major AV development over the past 20 years, with a relentless focus on commercializing the technology, leading to our current specialization in off‑road applications. This focus and our decades of experience have put Pronto on a track to become the world's first profitable AV technology company. Our first product is an Autonomous Haulage System (AHS) that enables mines, quarries, and construction sites to deploy autonomous vehicles inside their existing operations to improve site safety and add efficiency gains. Robotics Engineer (Autonomy Deployments & Systems Integration) Pronto is looking for a Robotics Engineer who thrives at system‑level debugging and end‑to‑end feature delivery-taking autonomy capabilities from prototype to reliable performance on real vehicles. You'll develop, test, and deploy features for our autonomous trucks, and you'll serve as a technical lead during deployments, owning bring‑up, triage, and cross‑team coordination in mission‑critical environments. What You'll Be Doing Develop, integrate, and validate autonomy features (software + tests) for real‑world autonomous vehicle operation. Own system‑level debugging: diagnose issues across sensors, compute, networking, controls, and software stacks using logs, metrics, and on‑vehicle tools. Lead technical execution for deployments: drive bring‑up plans, communicate technical requirements, identify risks, and coordinate fixes with engineering and operations. Support field deployments in mission‑critical environments, including periodic travel to customer sites and hands‑on on‑vehicle debugging. Bring up and integrate new truck platforms: work with hardware and integration teams to add sensors and vehicle signals, calibrate systems, and tune performance. Collaborate across disciplines (hardware, operations, safety, product) to deliver robust, safe, and maintainable autonomy behavior. Travel note: This role requires periodic travel to customer sites (up to 10%) Schedule note: Some schedule flexibility may be required during deployments Required Qualifications 2+ years of professional (non‑internship) software development experience. Strong programming skills in at least one modern language (Python, C++, Java, or C#); experience with object‑oriented design and building maintainable systems. Proven robotics engineering experience with evidence of system‑level ownership (e.g., integration, debugging, performance tuning, field support, or deployments). Ability to design and debug software systems with strong diagnostics (structured logging/metrics, fault isolation, testability) that scale beyond a single vehicle. Working knowledge of core robotics concepts and math (e.g., state estimation/Kalman filtering, localization, planning, controls). Comfort operating in ambiguity-able to define scope, interfaces, milestones, and success criteria to drive a problem to completion. Strong communication and collaboration skills, including the ability to explain technical trade‑offs to non‑technical partners. Demonstrated ability to lead technical projects through planning, execution, and deployment. Preferred Qualifications Experience deploying autonomy/robotics systems in the field (on‑call or deployment rotations, safety‑critical troubleshooting, or customer‑site support). Experience with any of: sensor fusion, safety systems, camera pipelines, ML for perception, vehicle interfaces (CAN), calibration workflows. Familiarity with robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses). Pronto is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

A leading AV technology company in San Francisco is seeking a skilled Robotics Engineer to develop and deploy features for autonomous vehicles. This role involves system-level debugging, technical leadership during deployments, and collaboration across various teams. The ideal candidate has over 2 years of software development experience, strong programming skills, and a good understanding of robotics concepts. This position requires up to 10% travel for field deployments and flexibility during critical project timelines. #J-18808-Ljbffr

Pronto is looking for a Robotics Engineer who thrives at system-level debugging and end-to-end feature delivery-taking autonomy capabilities from prototype to reliable performance on real vehicles. You'll develop, test, and deploy features for our autonomous trucks, and you'll serve as a technical lead during deployments, owning bring-up, triage, and cross-team coordination in mission-critical environments. What You'll Be Doing Develop, integrate, and validate autonomy features (software + tests) for real-world autonomous vehicle operation. Own system-level debugging: diagnose issues across sensors, compute, networking, controls, and software stacks using logs, metrics, and on-vehicle tools. Lead technical execution for deployments: drive bring-up plans, communicate technical requirements, identify risks, and coordinate fixes with engineering and operations. Support field deployments in mission-critical environments, including periodic travel to customer sites and hands-on on-vehicle debugging. Bring up and integrate new truck platforms: work with hardware and integration teams to add sensors and vehicle signals, calibrate systems, and tune performance. Collaborate across disciplines (hardware, operations, safety, product) to deliver robust, safe, and maintainable autonomy behavior. Travel note: This role requires periodic travel to customer sites (up to 10%). Schedule note: Some schedule flexibility may be required during deployments. Required Qualifications 2+ years of professional (non-internship) software development experience. Strong programming skills in at least one modern language (Python, C++, Java, or C#); experience with object-oriented design and building maintainable systems. Proven robotics engineering experience with evidence of system-level ownership (e.g., integration, debugging, performance tuning, field support, or deployments). Ability to design and debug software systems with strong diagnostics (structured logging/metrics, fault isolation, testability) that scale beyond a single vehicle. Working knowledge of core robotics concepts and math (e.g., state estimation/Kalman filtering, localization, planning, controls). Comfort operating in ambiguity-able to define scope, interfaces, milestones, and success criteria to drive a problem to completion. Strong communication and collaboration skills, including the ability to explain technical trade-offs to non-technical partners. Demonstrated ability to lead technical projects through planning, execution, and deployment. Preferred Qualifications Experience deploying autonomy/robotics systems in the field (on-call or deployment rotations, safety-critical troubleshooting, or customer-site support). Experience with any of: sensor fusion, safety systems, camera pipelines, ML for perception, vehicle interfaces (CAN), calibration workflows. Familiarity with robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses). #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A technology company in San Francisco is looking for an experienced Electrical Engineer to contribute to the design and development of wearable electronics. The ideal candidate should have over 10 years of experience in complex electrical engineering projects, possess strong skills in both analog and digital domains, and enjoy working collaboratively across teams. This full-time position offers competitive benefits, including health, dental, and 401k matching, making it a great opportunity for passionate professionals. #J-18808-Ljbffr

Responsibilities Peraton is seeking a skilled and motivated AWS Application Cloud Engineer to join our dynamic team. The ideal candidate will be responsible for maintaining cloud-based applications and infrastructure on AWS. You will work closely with development, operations and security teams to ensure the scalability, performance and security of cloud applications. The hired individual will also participate in on-call rotations to support 24/7 production systems and respond to incidents as they arise Roles & Responsibilities: Provision and manage AWS infrastructure using infrastructure as code (IaC) using tools such as Terraform and CloudFormation Monitor and troubleshoot production systems using AWS CloudWatch and other observability tools Collaborate with developers to containerize and deploy applications using ECS and Lambda Deploy applications across multiple environments (dev, staging, prod) and ensure consistency and stability Monitor deployments and system health using CloudWatch and other tools Troubleshoot and resolve deployment issues and improve pipeline performance and reliability Perform daily health checks using AWS CLI or scheduled Lambda scripts to check health and log/report results Collaborate with development team and DevOps teams to ensure applications are stateless and fault-tolerant Implement enhancements to containerized environments on ECS, focusing on scalability, performance and observability Enhance container orchestration strategies, including auto-scaling, rolling deployments and upgrades Support feature branch testing, merge request validation and artifact promotion workflows Ensure pipeline security and compliance through automated code scanning and approval gates Responsible for remediation of OS-level, container and dependent vulnerabilities Orchestrate failover and restoration of ECS/ EKS services, Lambda functions, databases and other infrastructure components Test and document regional failover playbooks and recovery runbooks Ensure compliance with RTO (Recovery Time Objective) and RPO (Recovery Point Objective) requirements Diagnose and resolve production issues related to cloud services, container orchestration, databases and CI/CD pipelines Follow and improve incident response playbooks, escalation procedures and communication workflows Automate common operational tasks and improve alert accuracy to reduce on-call fatigue Log incidents, changes, and operational metrics in tracking systems Qualifications Required Qualifications: 5 years with BS/BA. or 9 years of experience with a HS Degree/Diploma. 5 years of IT experience Hands-on experience with AWS and cloud-based deployment strategies Familiarity with image registries like Amazon ECR and CI/CD pipelines for container deployment Proficient with Python, Bash, YAML/JSON, Node.js, Lambda functions Proficient in scripting languages like Python, Bash and Node.js. Hands-on experience with CI/CD tools (GibHub, GitLab, Kubernettes, DevOps, CI) Knowledge of disaster recovery planning and implementation AWS or relevant Cloud certifications (AWS DevOps Engineer, Solutions Architect Associate) Solid understanding of cloud architecture principles, autoscaling strategies and load balancing Proficient with monitoring, alerting and logging tools Strong written and verbal communication skills for technical and non-technical stakeholders Excellent analytical and problem-solving skills Must be a US Citizen. Must be able to obtain and maintain a Public Trust clearance Preferred Qualifications: Familiarity with container orchestration (Docker, ECS, Kubernetes) Knowledge of ITIL practice or incident management frameworks Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.